Llama 3.1 8B Instruct Simplicity RAG by coolcat0

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow

Llama 3.1 8B Instruct Simplicity RAG Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Instruct Simplicity RAG (coolcat0/Llama-3.1-8B-Instruct-Simplicity-RAG)

Llama 3.1 8B Instruct Simplicity RAG Parameters and Internals

LLM NameLlama 3.1 8B Instruct Simplicity RAG
Repository ๐Ÿค—https://huggingface.co/coolcat0/Llama-3.1-8B-Instruct-Simplicity-RAG 
Model Size8b
Required VRAM48.2 GB
Updated2025-03-24
Maintainercoolcat0
Instruction-BasedYes
Model Files  4.5 GB   5.0 GB: 1-of-4   4.9 GB: 1-of-7   5.0 GB: 2-of-4   4.8 GB: 2-of-7   4.9 GB: 3-of-4   5.0 GB: 3-of-7   1.2 GB: 4-of-4   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Model ArchitectureAutoModelForCausalLM
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesmlp.down_proj|mlp.up_proj|self_attn.q_proj|self_attn.k_proj|self_attn.o_proj|mlp.gate_proj|self_attn.v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than coolcat0/Llama-3.1-8B-Instruct-Simplicity-RAG.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227